{
  "cells": [
    {
      "cell_type": "code",
      "source": [
        "# If in colab, upload routing_output.zip\n",
        "!unzip /content/routing_output.zip"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "plqY0djCp4F-",
        "outputId": "97862f0a-ee82-4780-851d-ba5ad36fd375"
      },
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Archive:  /content/routing_output.zip\n",
            "   creating: routing_output/\n",
            "   creating: routing_output/olmoe/\n",
            "  inflating: routing_output/routing.jpg  \n",
            "   creating: routing_output/text/\n",
            "   creating: routing_output/mistral/\n",
            "  inflating: routing_output/routing_prob_distribution.png  \n",
            "   creating: routing_output/olmoe/eid2token/\n",
            "   creating: routing_output/olmoe/expert_counts/\n",
            "  inflating: routing_output/text/wikipedia_texts.txt  \n",
            "  inflating: routing_output/text/github_oss_with_stack_texts.txt  \n",
            "  inflating: routing_output/text/c4_texts.txt  \n",
            "  inflating: routing_output/text/b3g_texts.txt  \n",
            "  inflating: routing_output/text/arxiv_texts.txt  \n",
            "   creating: routing_output/mistral/eid2token/\n",
            "   creating: routing_output/mistral/expert_counts/\n",
            "  inflating: routing_output/olmoe/eid2token/book.pkl  \n",
            "  inflating: routing_output/olmoe/eid2token/github.pkl  \n",
            "  inflating: routing_output/olmoe/eid2token/wikipedia.pkl  \n",
            "  inflating: routing_output/olmoe/eid2token/c4.pkl  \n",
            "  inflating: routing_output/olmoe/eid2token/arxiv.pkl  \n",
            "  inflating: routing_output/olmoe/expert_counts/book.pkl  \n",
            "  inflating: routing_output/olmoe/expert_counts/github.pkl  \n",
            "  inflating: routing_output/olmoe/expert_counts/wikipedia.pkl  \n",
            "  inflating: routing_output/olmoe/expert_counts/c4.pkl  \n",
            "  inflating: routing_output/olmoe/expert_counts/arxiv.pkl  \n",
            "  inflating: routing_output/mistral/eid2token/book.pkl  \n",
            "  inflating: routing_output/mistral/eid2token/github.pkl  \n",
            "  inflating: routing_output/mistral/eid2token/wikipedia.pkl  \n",
            "  inflating: routing_output/mistral/eid2token/c4.pkl  \n",
            "  inflating: routing_output/mistral/eid2token/arxiv.pkl  \n",
            "  inflating: routing_output/mistral/expert_counts/book.pkl  \n",
            "  inflating: routing_output/mistral/expert_counts/github.pkl  \n",
            "  inflating: routing_output/mistral/expert_counts/wikipedia.pkl  \n",
            "  inflating: routing_output/mistral/expert_counts/c4.pkl  \n",
            "  inflating: routing_output/mistral/expert_counts/arxiv.pkl  \n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install -q git+https://github.com/Muennighoff/transformers.git@olmoe"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "collapsed": true,
        "id": "bptdjE99p95V",
        "outputId": "874d37cc-2543-4331-f770-2f689b79a8ca"
      },
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "  Installing build dependencies ... \u001b[?25l\u001b[?25hdone\n",
            "  Getting requirements to build wheel ... \u001b[?25l\u001b[?25hdone\n",
            "  Preparing metadata (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n",
            "  Building wheel for transformers (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Get your key at https://wandb.ai/authorize\n",
        "# Then use Colab secrets and set it under the name WANDB & then run this cell to login\n",
        "# See https://github.com/wandb/wandb/issues/2074\n",
        "from google.colab import userdata\n",
        "token = userdata.get('HF') # or manually use your token"
      ],
      "metadata": {
        "id": "kSAvkuRrqycs"
      },
      "execution_count": 3,
      "outputs": []
    },
    {
      "cell_type": "code",
      "execution_count": 20,
      "metadata": {
        "id": "IRh3riIbpn_B"
      },
      "outputs": [],
      "source": [
        "import pickle\n",
        "import matplotlib.pyplot as plt\n",
        "import pandas as pd\n",
        "import seaborn as sns\n",
        "from collections import Counter\n",
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "from transformers import OlmoeForCausalLM, AutoTokenizer\n",
        "tokenizer = AutoTokenizer.from_pretrained(\"OLMoE/OLMoE-1B-7B-0924\", token=token)\n",
        "\n",
        "\n",
        "'''\n",
        "read all dumped data\n",
        "'''\n",
        "def load_data(input_path):\n",
        "    with open(input_path, 'rb') as f:\n",
        "        data = pickle.load(f)\n",
        "    return data\n",
        "\n",
        "\n",
        "def print_expert_percentage(exp_counts):\n",
        "    total = sum(exp_counts.values())\n",
        "    for eid, ecount in exp_counts.most_common():\n",
        "        print(f\"Expert {eid}: {ecount/total*100:.2f}\")\n",
        "\n",
        "def convert_to_percentage(exp_counts):\n",
        "    total = sum(exp_counts.values())\n",
        "    return {eid: ecount/total*100 for eid, ecount in exp_counts.items()}\n",
        "\n",
        "def token_to_count(counts_layer):\n",
        "    token2count_all = Counter()\n",
        "    for eid, token2count in counts_layer.items():\n",
        "        token2count_all.update(token2count)\n",
        "    return token2count_all\n",
        "\n",
        "\n",
        "def convert_to_percentage_token2count(counts_layer, token2count_all, model):\n",
        "    for eid, token2count in counts_layer.items():\n",
        "        for token in token2count.copy():\n",
        "            # print(token2count[token])\n",
        "            # print(token2count_all[token])\n",
        "            if token2count[token] < 8:\n",
        "                del token2count[token]\n",
        "            else:\n",
        "                if model == \"olmoe\":\n",
        "                    token2count[token] = token2count[token] / (token2count_all[token]/8)\n",
        "                elif model == \"mistral\":\n",
        "                    token2count[token] = token2count[token] / (token2count_all[token]/2)\n",
        "    return counts_layer\n",
        "\n",
        "model = \"olmoe\" # mistral\n",
        "all_domains = [\"github\", \"arxiv\", \"c4\", \"book\", \"wikipedia\"]\n",
        "data_layer0 = {}\n",
        "data_layer7 = {}\n",
        "data_layer15 = {}\n",
        "eid2token_layer0 = {}\n",
        "eid2token_layer7 = {}\n",
        "eid2token_layer15 = {}\n",
        "data_total_token2count = {}\n",
        "for domain in all_domains:\n",
        "    input_path = f\"routing_output/{model}/expert_counts/{domain}.pkl\"\n",
        "    counts_layer0, counts_layer7, counts_layer15 = load_data(input_path)\n",
        "    data_layer0[domain] = convert_to_percentage(counts_layer0)\n",
        "    data_layer7[domain] = convert_to_percentage(counts_layer7)\n",
        "    data_layer15[domain] = convert_to_percentage(counts_layer15)\n",
        "\n",
        "    input_path = f\"routing_output/{model}/eid2token/{domain}.pkl\"\n",
        "    counts_layer0, counts_layer7, counts_layer15 = load_data(input_path)\n",
        "    token2count_all = token_to_count(counts_layer7)\n",
        "    data_total_token2count[domain] = token2count_all\n",
        "    # counts_layer = convert_to_percentage_token2count(counts_layer0, token2count_all)\n",
        "    # eid2token_layer0[domain] = counts_layer0\n",
        "    # eid2token_layer7[domain] = counts_layer7\n",
        "    # eid2token_layer15[domain] = counts_layer15\n",
        "    # convert_to_percentage_token2count(counts_layer0, token2count_all)\n",
        "    # eid2token_layer7[domain] = convert_to_percentage_token2count(counts_layer7, token2count_all)\n",
        "    eid2token_layer15[domain] = convert_to_percentage_token2count(counts_layer15, token2count_all, model)\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 21,
      "metadata": {
        "id": "_89MsqZcpn_C"
      },
      "outputs": [],
      "source": [
        "'''\n",
        "convert the data for plotting\n",
        "'''\n",
        "domain = \"c4\"\n",
        "\n",
        "domain2rout_prob0 = {}\n",
        "domain2rout_prob4 = {}\n",
        "domain2rout_prob7 = {}\n",
        "\n",
        "for domain in [\"github\", \"arxiv\", \"c4\", \"book\", \"wikipedia\"]:\n",
        "    # use the layer 15th data\n",
        "    for eid, token2count in eid2token_layer15[domain].items():\n",
        "        # print(\"expert: \",eid)\n",
        "        total_token2count = data_total_token2count[domain]\n",
        "        token2count = token2count.most_common()\n",
        "        '''\n",
        "        this decides which expert you want to plot the distribution of\n",
        "        For mistral, we use expert 0, 4, 7 for plotting\n",
        "        '''\n",
        "        if eid == 0:\n",
        "            domain2rout_prob0[domain] = [p for (t, p) in token2count]\n",
        "            # print(token2count)\n",
        "        if eid == 4:\n",
        "            domain2rout_prob4[domain] = [p for (t, p) in token2count]\n",
        "        if eid == 7:\n",
        "            domain2rout_prob7[domain] = [p for (t, p) in token2count]\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 27,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 659
        },
        "id": "3H4I9IyYpn_D",
        "outputId": "3c0bfd54-c9cf-4c7e-e2fd-ea5902d1f2ad"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "WARNING:matplotlib.legend:No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.\n",
            "<ipython-input-27-9745d81be588>:95: UserWarning: This figure was using a layout engine that is incompatible with subplots_adjust and/or tight_layout; not calling subplots_adjust.\n",
            "  plt.subplots_adjust(top=0.9, hspace=0.45)\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 2400x1300 with 12 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "FONTSIZE = 24\n",
        "# Custom color palette\n",
        "custom_palette = {\n",
        "    'github': '#F0539B',\n",
        "    'arxiv': '#43C5E0',\n",
        "    'c4': '#2E3168',\n",
        "    'book': '#FDBE15',\n",
        "    'wikipedia': '#FF6B6B',\n",
        "}\n",
        "\n",
        "# Create a figure with 3x4 subplots\n",
        "fig, axes = plt.subplots(3, 4, figsize=(24, 13), sharex=True, sharey=True, layout='constrained')\n",
        "# fig.suptitle('Routing Probability Distribution by Domain and Expert', fontsize=16, y=0.95)\n",
        "\n",
        "'''\n",
        "Note this experts and domains are hardcoded. It should match the expert number above\n",
        "'''\n",
        "# List of experts and domains\n",
        "experts = [0, 4, 7]\n",
        "domains = [\"github\", \"arxiv\", \"c4\", \"book\"] #  \"wikipedia\"\n",
        "domain_to_title = {\n",
        "    'github': 'GitHub',\n",
        "    'arxiv': 'arXiv',\n",
        "    'c4': 'C4',\n",
        "    'book': 'Books',\n",
        "    'wikipedia': 'Wikipedia',\n",
        "}\n",
        "\n",
        "# Iterate through experts and domains to create subplots\n",
        "for row, expert in enumerate(experts):\n",
        "    for col, domain in enumerate(domains):\n",
        "        ax = axes[row, col]\n",
        "\n",
        "        # Get the correct data based on the expert\n",
        "        data = globals()[f'domain2rout_prob{expert}'][domain]\n",
        "\n",
        "        # Multiply x and y data by 100 to convert to percentage\n",
        "        data = np.array(data) * 100\n",
        "\n",
        "        # # Plot histogram\n",
        "        # sns.histplot(data, ax=ax, color=custom_palette[domain], kde=True, stat='probability')\n",
        "\n",
        "        # Plotting the probability histogram\n",
        "        # g = sns.histplot(data, ax=ax, color=custom_palette[domain], kde=True, stat='probability')\n",
        "        g = sns.histplot(data, ax=ax, color=custom_palette[domain], kde=True, stat='percent')\n",
        "        g.set(xlabel=None)\n",
        "        g.set(ylabel=None)\n",
        "        #ax.set_ylabel('Frequency (normalized)')\n",
        "\n",
        "        # # Creating a twin axis to show counts\n",
        "        # ax2 = ax.twinx()\n",
        "        # sns.histplot(data, ax=ax2, color=custom_palette[domain], kde=False, stat='count')\n",
        "        # ax2.set_ylabel('Frequency')\n",
        "        # ax2.grid(False)  # Optionally turn off the grid for the secondary axis\n",
        "\n",
        "\n",
        "        # Add mean line\n",
        "        #ax.axvline(x=1/8, color='grey', linestyle='--')\n",
        "        if model == \"olmoe\":\n",
        "            ax.axvline(x=1/8*100, color='grey', linestyle='--')\n",
        "        else:\n",
        "            ax.axvline(x=2/8*100, color='grey', linestyle='--')\n",
        "        ax.tick_params(axis='both', which='major', labelsize=FONTSIZE)\n",
        "\n",
        "        # Set labels and title\n",
        "        # ax.set_xlabel('Routing Probability')\n",
        "        # ax.set_ylabel('Frequency')\n",
        "\n",
        "        # Set yticks\n",
        "        ax.set_yticks([10, 20, 30, 40])\n",
        "\n",
        "        # set the y-axis range\n",
        "        #ax.set_ylim(0, 0.5)\n",
        "\n",
        "        # Set title for top row only\n",
        "        if row == 0:\n",
        "            ax.set_title(domain_to_title[domain], fontsize=FONTSIZE)\n",
        "\n",
        "        # Add legend\n",
        "        if row == 0 and col == 0:  # Only add legend to the first plot\n",
        "            ax.legend()\n",
        "\n",
        "    # Add subtitle for each row\n",
        "    if row == 0:\n",
        "        fig.text(0.5, 0.95, f'Expert {expert}', ha='center', va='center', fontsize=FONTSIZE, fontweight='bold')\n",
        "    else:\n",
        "        fig.text(0.5, 0.89 - row*0.28, f'Expert {expert}', ha='center', va='center', fontsize=FONTSIZE, fontweight='bold')\n",
        "\n",
        "\n",
        "fig.supxlabel('Routing Probability (%)', fontsize=FONTSIZE, fontweight='bold')\n",
        "fig.supylabel('Frequency (normalized %)', fontsize=FONTSIZE, fontweight='bold')\n",
        "\n",
        "# Adjust layout and display plot\n",
        "# plt.tight_layout()\n",
        "plt.subplots_adjust(top=0.9, hspace=0.45)\n",
        "# plt.subplots_adjust(top=0.88, hspace=0.3, bottom=0.05)\n",
        "# save the plot\n",
        "plt.savefig(\"routing_output/routing_prob_distribution.png\")\n",
        "plt.show()\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 13,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 483
        },
        "id": "2blWm2aKpn_D",
        "outputId": "0b51e28c-da1b-4f07-a8ef-9b5da83a0a8f"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 2400x1000 with 3 Axes>"
            ],
            "image/png": 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          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ],
      "source": [
        "'''\n",
        "Mistral plot\n",
        "'''\n",
        "\n",
        "custom_palette = {\n",
        "    'GitHub': '#F0539B',\n",
        "    'arXiv': '#43C5E0',\n",
        "    'C4': '#2E3168',\n",
        "    'Books': '#FDBE15',\n",
        "    'Wikipedia': '#FF6B6B',\n",
        "    'Wikipedia': '#B11BE8',\n",
        "}\n",
        "\n",
        "FONTSIZE = 32\n",
        "\n",
        "\n",
        "# Function to prepare data\n",
        "def prepare_data(data):\n",
        "    df = pd.DataFrame(data)\n",
        "    df = df.reset_index().melt(id_vars='index', var_name='Domain', value_name='Value')\n",
        "    df = df.rename(columns={'index': 'Expert ID'})\n",
        "    # Rename the domain names\n",
        "    df['Domain'] = df['Domain'].map({'github': 'GitHub', 'arxiv': 'arXiv', 'c4': 'C4', 'book': 'Books', 'wikipedia': 'Wikipedia'})\n",
        "    return df\n",
        "\n",
        "# Function to create subplot\n",
        "def create_subplot(ax, data, title):\n",
        "    #sns.barplot(x='Expert ID', y='Value', hue='Domain', data=data, ax=ax, palette=custom_palette)\n",
        "    b = sns.barplot(x='Expert ID', y='Value', hue='Domain', data=data, ax=ax, palette=custom_palette, width=0.6)\n",
        "\n",
        "    b.set(xlabel=None)\n",
        "    b.set(ylabel=None)\n",
        "    # ax.axvline(y=1/8*100, color='grey', linestyle='--')\n",
        "    # ax.axhline(y=1/64*100, color='grey', linestyle='--', linewidth=2, alpha=0.7)\n",
        "\n",
        "    # ax.axhline(y=1/8*100, color='grey', linestyle='--', linewidth=2, alpha=0.7)\n",
        "    ax.axhline(y=1/8*100, color='grey', linestyle='--', linewidth=4, alpha=0.7)\n",
        "    ax.set_title(title, fontsize=FONTSIZE, pad=10, fontweight='bold', loc='left')\n",
        "\n",
        "    #if title == 'Layer 15':\n",
        "    #    ax.set_xlabel('Expert ID', fontsize=FONTSIZE, labelpad=5)\n",
        "    #else:\n",
        "    #    ax.set_xlabel('')\n",
        "    #ax.set_ylabel('Selection proportion', fontsize=FONTSIZE, labelpad=5)\n",
        "    # ax.set_facecolor('none')\n",
        "    ax.tick_params(axis='both', which='major', labelsize=FONTSIZE)\n",
        "    # ax.set_ylim(0, 10)\n",
        "    ax.set_axisbelow(True)\n",
        "    # axis=\n",
        "    ax.grid(True, axis='y', linestyle='-', alpha=0.3, color='#FFE5B4')\n",
        "    # ax.legend(loc='upper right', title='Domain', title_fontsize='12', fontsize='10')\n",
        "    # ax.tick_params(axis='x', rotation=45, ha='right')\n",
        "\n",
        "# Set up the plot style\n",
        "plt.style.use('seaborn-v0_8-poster')\n",
        "plt.style.use('seaborn-v0_8-darkgrid')\n",
        "sns.set_style(\"white\")\n",
        "\n",
        "# Create the figure and subplots\n",
        "fig, (ax1, ax2, ax3) = plt.subplots(3, 1, figsize=(24, 10), sharex=True, layout='constrained')\n",
        "fig.patch.set_facecolor('none')\n",
        "\n",
        "# Prepare data for each layer\n",
        "df_layer0 = prepare_data(data_layer0)\n",
        "df_layer7 = prepare_data(data_layer7)\n",
        "df_layer15 = prepare_data(data_layer15)\n",
        "\n",
        "# Create subplots\n",
        "create_subplot(ax1, df_layer0, 'Layer 0')\n",
        "create_subplot(ax2, df_layer7, 'Layer 7')\n",
        "create_subplot(ax3, df_layer15, 'Layer 15')\n",
        "\n",
        "# Adjust layout\n",
        "# plt.tight_layout()\n",
        "\n",
        "# Create a single legend for the entire figure\n",
        "handles, labels = ax3.get_legend_handles_labels()\n",
        "fig.legend(handles, labels, title='Domain', loc='upper center', title_fontsize=FONTSIZE, fontsize=FONTSIZE, ncol=len(labels), bbox_to_anchor=(0.5, 1.08))\n",
        "\n",
        "# fig.supylabel('Selection proportion (%)', fontsize=FONTSIZE, fontweight='bold')\n",
        "fig.supylabel('Domain specialization (%)', fontsize=FONTSIZE, fontweight='bold')\n",
        "fig.supxlabel('Expert ID', fontsize=FONTSIZE, fontweight='bold')\n",
        "\n",
        "# Title\n",
        "#ax1.set_title(\"Mixtral-8x7B\", fontsize=FONTSIZE, fontweight='bold')\n",
        "#plt.subplots_adjust(top=0.9)#, hspace=0.45)\n",
        "\n",
        "# Remove individual legends from subplots\n",
        "ax1.get_legend().remove()\n",
        "ax2.get_legend().remove()\n",
        "ax3.get_legend().remove()\n",
        "\n",
        "# Show the plot\n",
        "plt.savefig('routing_mixtral.jpg', format='jpg', bbox_inches='tight')\n",
        "plt.savefig('routing_mixtral.pdf', bbox_inches='tight')\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 9,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 483
        },
        "id": "U5xoZzHJpn_D",
        "outputId": "1211e780-08c5-4e17-957b-38fb36d6ef37"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 2400x1000 with 3 Axes>"
            ],
            "image/png": 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9q+5eVfdorX1wSLExf2M737TW/msB21xbVQ9O8ukk39Gz6lGRrDVJS+mZ5B8mOav7+550ptVzf3npG2uCn3vLs5OsBdd5co5/mH1pOh80s2qtvbaqnpROKetjfjOdLHVWuNba5VlYVjCrUGvtLxa43YGqelo6b4cfc1I65WXfMozYWJlaa62q/jWdt3uPueek4mHJ+K0k53V/P5rkCbnuwQDAQvxFrqs+kiSvm0+iFgyiqjYk6Z8a6h2ttcsmEQ/jU1U3THLjvuaXDvoCTDpThPe/nPcD6Uzdysr2+L7lq9Opqj+nbqLfLyf5rm7Tqekk0MyYeMPSM+b7dj+V675nJZ0qbr88Q9//033R6sVJnt7T/JSqelFr7fCQY2QO477X21r7jXHti9EZ13HTrZS/0Bcwn5HOiw+n9rTdL4lkrQlZDs+Wus8l/iSdSmzHfEdVXa+19q1JxbWaLZXjpqp+MMe/TPXs1trXqmpCETGLpZTgR5+1kw4AlpD79y3/7Ty+EP9V3/K9q8pDT2CYPpDkqr62204iEJadj/QtX38iUbAkVNV5OX4K1b9srX1sUvEAy19VfVeSH+lpOpDOlIgwbPdNcmZf2ysnEAfjd+40bQNfv7TWPpPO28O9rreoiFgufqhv+bXzrE798r7lB03bCzr6K0n8e2vtiwNu+zfpvEhzzBnpJJUCDEW3Eld/NWP3lhlE/73lxP3lVa07a0NvtaRPJ/njyUTDXFprl7fWnthae3lr7dPzeOmJMZCsBUmq6vY58S3N181jiDemM/3CMVuS3HuxcQEc01o7mk7Fv17TPbSAftf2Lbv+W6Wqak06U7kcqyR6eZLfnlxEwArRX63m7a21r04kEla6x/QtXxlVZleLddO0DTT1zyz9NywwFpaJqtqe46fsSeZfjeQ/+pbPq6pbLzwqVqruFIj9U24OfG+5tfaVnPgw/H6LjQugzyV9y+4tM4j+e8uJ+8ur3e8kuVX396kkT1ANFBbGyRQ6+t+0u2webz6ltbY3ySf6mu+12KAA+mzsW56aSBQsNzfoW/7aRKJgKfjZJPfoWX5Ka23HhGIBVoCqWpvkEX3Nr59ELKxsVXVWkh/va35Na+3QJOJh7L4+Tdvpg27cTVjf3tf8zUVFxHJwzjRtA9/r6/rCNG0/vIBYWPlulxPPS/85zzEu7Ft2bxkYNveWWYj+e8uJ+8urVvfFhd/saXp5a63/GgYYkGQt6LhN3/JCpgPqf/vJm3bA0HQfht6sr/nbk4iFZee+fcvvnUgUTFRVnZ3kRT1N72ut/cOk4gFWjFunM01Prw9OIhBWvEfkxEpIr5xAHExAa+0bOTHJ5u7zGOIO6VRA7+WBwso3XULffCuy7Zqm7TsXEAsrX/+95V1JLp7nGP33lr+jW7ELYFhu2bfs3jKD+Mm+5c+11hw7q1D3JZi/ynWJn1fl+MQtYJ7WTzoAWCLO61v+0gLG6N+mf0yAxbh3klP72i6aRCAsH1X1xHQeTh1zJMmfTSgcJuuPc11FiYNJnjS5UIAV5M59yztaa8dVq6mqrUm+K8mN0km2uSLJV1prnxtPiKwQj+5b/mRr7X8mEgmT8rIkf9Cz/ItV9RettQMDbPvUvuUPtNb6pwFi5Znu2Ng0zzGm6+/lTKbTfx/40tbafCvW9N9b3pTOS3vzrQgHcIKq2pYTZ5hxb5lZVdXtcuI9xD8efyQsET+f5Pt7lp/WWrtqUsHASiBZCzpu1bf81QWM0V/28wZVdXJrbc8CYwLo9cS+5T1J3jeJQFj6quqUdN5q+e2+Vc9prX12AiExQVX1o0ku6Gl6UWttvm95s0pV1YYkt00n0WZ7kt3pvDn3pdbapZOMjSXhTn3L7dgvVXXHJE9Lcr9M87C7qr6Z5E1JXtham26KM0iSVNXt0zkP9XrlBEJhsl6SToW123WXb5Hk76vqUa21/TNtVFW/neShPU2HkvzaiGJkabl6mraz5jnGdP1rAbGw8o3i3nLSOd4kawHD8Ngkm/va3jKJQFj6upUdL0jyJzn++/y/JfmbiQTFRFXVOUl+r6fpP5K8YkLhsMxUVaVT3fGsdL6TX5Xkm0k+01o7OsnYJk2yFnRs71teSAnPb80wrmQtYFGq6l5Jfqqv+ZUDvkXOCtQtOfwLfc2b0pmK6nuS/HCSk3vWHU3yu621540nQpaKqjopyUt7mi5N8rsTCofl587pTBfUP3VUkqSqvpHk3Un+uLX2qXEGxpJxo77lHd2pm5+VTsLwbPccrp/kF5P8XFX9Vmvtj0YUI8vfY/qWDyV59QTiYIJaawer6j5J3pPrpqF7cJLbVtWfJPn3dJIjjiQ5N51pEp+U5Ad6hjmU5OGttU+MK24m6lvpVJTd2NN2xyTvn8cYd5imbbrpFaH/uJj3veXW2pVVdTjHXz/137MGmLeqOivJ7/Q1fyamhV7Vqup+Sa7X07Q+ydZ0qkX+UDrf2Xu9LcnPrPbEilXsT5Js6/5+OMkTF1BFlFWoqq5M57nVdHZV1YfSqaT9ttV4TEnWYtWrqi1J1vU1713AUPumaTtlAeMA/J9uier+t1WuTfL88UfDErIuxyfgzORwknckeX5r7WOjDYkl6lnpTJ1xzC+11qa7ZoHpnDTH+huk83buY6vqn5M8XvnzVWdb3/K1Sf4w86tasynJi6vqO1prpmjlON3qfg/ra35ba+2KScTDZLXWvlVVd07yzCS/lM49l1sl+fMBNr8onQcK/zXCEFlCWmv7q+qiJHfraf6pdD6nBtX/0lSSbKiqTV6eok//PeCF3FtOOveXT51lXICF+Kuc+KD8N1fjQ3GO89Qk3zdAv4uS/EFr7R9HHA9LVFX9eI6vVvxHrbXPTCoelp2ZErWS5LQkP9H9+VS3cvYnxxPW0rB20gHAEnDyNG0zltCfxXQPPqcbG2Ag3epJr0xy075VT22tLaQCIKvPfyR5Y5JVdYFLR1XdNsmv9zT9c2vt7ZOKhxXvgUk+0T3uWD229i2fn+MTtT6VTlWkm6Yz5caZSX4wnUT0I33bPrGqfnEEMbK83Ted46bXKycQB0tEa21fa+230kmiGWR676uTPLa1dieJWqvSu/qW71FVdxlkw6q6UY5/KNVLAg39+u8BL+TecnLi/WX3loFFqaonJ7l/X/M/uj/EgL6Y5HXpVLFlFaqqk5P8RU/T15I8Z0LhsLJ9T5KPVNXDJx3IOEnWgumndTm4gHGme6Nu2iljAAb03CT362v719baX04iGJal89N5oHlpVd1/opEwVt1pyP4q11XS3Z3kVycXEcvMVUlek+Rx6UyFeFY6UwidmuTm6Ty4fE061ft63TDJ27sPN1kd+h9W9ybVvCTJHVprf9da+0pr7UBr7arW2vtbaz+fTtLWzr7t/7CqbjDKgFl2HtO3fHk602+wSlXV91bVh5O8N8ltBtjk9CSvqKr3VdUglQNYWV6WE+/XvbKqZp1arqo2pvM9aqYqo+730a//mFjIveXkxOPVsQYsWFX9aJIX9TV/JZ2pomEQt0zy+0m+UlVPr6r+WYpY+Z6T44sJ/Eprbc+EYmH5OJDknUmenM4zquun891qczozNfxYOhWPd/Rttzmd72s/Oq5AJ800iDD9m04bFzDOpgHHBphTVT0+ydP7mi/OiQ+sWIVaa4eTrOltq6pTkpyd5A7pVLj56Vz3eXa9JG+qqqe11vpv0rAy/WKS3qoBz2qtfX1SwbBsfDOd6cbe2Fqb7gHToXQS/y5N8vqqemaS16aT0HXM9ZO8Osk9RhwrS8NMU0D9S2vtV2bbsLX2oap6WI5PvNmUTkXApwwpPpaxqjoryY/3Nb+6ex3EKlRVT0gnEbT/fuZFST6YzufYoXSuie+czk3hDd0+5yf5YFU9s7X2u+OIl8lrrV1WVX+azjQ/x9w6yfu6U2x8qn+bqrpJkr9N8kOzDL17uJGyAvTfA17IveXkxPvL7i0DC1JVd0zyT0l6k2v2JPnp1to1k4mKpaS19v29y1W1OZ0XHb47yY8keWx3OekkDz8vyR2r6iGttUPjjJXJqKrb5/jq6W9prb15MtGwjPxGkle01q6eYf03uz/vqqrnJPmzJI/qWb8+yT9W1S1mGWPFkKwF099g2byAcaZ708nNG2Dequqnk7y0r/nrSe7tyzQzaa3tTudz50tJ3lBV56WTRHG7nm6/X1UXt9beMoEQGZOqumGS3oeQn0rypxMKh2Wktfb5JJ+fR/9LquoH0imH31ut5Aeq6r6ttbcOO0aWnOm+7xxJ8suDbNxae3tVvTWdqe6OeUQka9HxiFyXaHPMKyYRCJNXVQ9KZ/qN3hcWPp3kcTNNb9it9PhH6bzEkHRmGHh+VR1orf3BKONlSXl6Osl6vcnlt03y8ar6QDpTx1+ZZFu3z71zXcLMVDpvhPcmjk4l2TXSiFmO+q+JFnJvOTnx/rJ7y8C8VdWtkrwjnerYxxxK8sDW2kWTiYqlrrW2P8cnUTw/nWcUP9PT7f5JXpBOMgYrWM+sDccSPvcmmfWlPEiS1tofzqPvtUkeXVVX5Ph7gduS/HZWwbnGNIiseq21fek8UOg1U5nz2UjWAhatqu6dztRSvZ/RVyb5kdba1yYTFctRa+3idN4Gb32rXqJk9Yr3klx3Q24qyRNVIWFUWmsHkjw4nTd0e5lWYXW4dpq2d8/zmuVv+pbPrqpbLyImVo5H9y1/vLX26YlEwkRV1dZ0prPrTdS6KMndZkrUSpLW2tdaaw/qbtvr/1XVdw0/UpaibrXQn0jy4b5V69L5vvTMdF5seG6Sn8zxlY2emk5Seq9drbWjo4mWZaz/HvBC7i0nJyZ5ubcMzEs3Wf09Sc7qaT6a5BGttXdPJiqWo9bajnSqr7+ub9WTuwmBrGy/nOROPcvPa619eUKxsPI9Ncl/97X9fFWt+MJTkrWgY0ff8rkLGON6A4wLMKOqunuSf87x5fJ3JfnRbuINzEu3Elt/dZObJLnPBMJhDKrqAem85XbM37bWLpxQOKwSrbVvpfO2Xa97VtV004SzskxX8fND8xzjP6Zpu+0CYmEF6U630H8cqKq1ev1skjN6lo8keXhrrT9ReCa/muTLPcsbkvzmcEJjOWitXZFOYtYL0qkKMJdvJ/mJ7lvhp/at8xIV0+m/Jpr3veWqOjMnVpRUXR0YWFWdnU6i1o37Vj2htfb6CYTEMtdam0rySzm+qujaJL8wmYgYh27S5/N7mj6bZOBqSTBf3XPN8/qaT0tytwmEM1aStaCjf7qX/ovZQdyob/mb3SmpAOZUVbdL8rYkJ/c0701y39baxycSFCvFv6VTvrrXD04iEMbiuT2/XxkPIhmf/ulVT0qiasnK11+9MUkundcArV2VEyt0nTFdX1aVx/QtH0yn+iyr0337lt/TWpvu/DOtbmWlv+xr/inVZleX1tr+1tpvJ7l5Oi+0vCXJJek8fNzX/f1tSR6V5Jattbd3N71J31D9b3xDMpp7y9ONCzCtqtqW5N1Jqm/Vb7TW/nr8EbFStNauTOcaqZd7yyvb05Kc0rP8pNbaoUkFw6rxniT7+9ruMolAxmnFlw6DAV2c47Mzb76AMW42zZgAc6qq89L5Mr2tp/lgkge21uZbnQKO01qbqqpPJLl+T3P/ZxYrR++b/2cmuaqq/z7dwC7t2/YDrbXzFzoYK95np2k7e+xRMG7T/btPNzXiXHbl+PPX1oWFw0pQVRvSmW6j11taa1dPIh6WhO/uW/7PBYzRv81pSW4RiRCrTmvtsiR/1v0ZRP/xN+PUm6xq/feBb1pVa7pVAgbV/z39YJIvLS4sYDWoqpOTvD0nVqZ9brdKJCzW/yS5oGfZveWVrb+y7PsXcX/5FVV1XJXs1tqamTqzerXW9lXVl5Oc19O84u8tq6wFHf0PGRaSqXnXvuXPLTAWYBWpqpumU/norJ7mI0kuaK29ayJBsRLt7Fs+aSJRACvZdEkU28ceBeP2v9O0nTJN21z6t9k1bS9Wi/umk3DcyxSIq1v/58nlCxjjsmnaVPFjVlV1UpLv7GteSLIgK1//veWtOf5B0yD67y1/obV2ZOEhAatBVW1O8q85caqoP26tPWsCIbEyubcMjEP//eUVf29ZshZ0vLdv+ZyquuWgG3dv3tyur/nfFxsUsLJV1fXTOVfcoKd5KsnPttb+eTJRsUL1P4i6YiJRACvZtmna+m/msfJ8OicmQEw3hc+MqmprOhVuevmcWt0e07f87STvnEAcLB27+5a3LGCM6R4o7V3AOKwuP5Vkc8/yJ1trn5xUMCxpn0hyTV/b981zjP7+7i0Ds6qq9Ulen+SH+lb9TZJfH39ErGDuLQPjsK1vecXfWzYNIiRprX28qr6W4x8sPDTJ7w44xAOTbOhZ3p/OlGYA06qqM9KZg7l/2tVfaq29agIhsUJV1dokd+hr/uYkYmEsficnlqoexK2SPLmv7elJrupZdtwwm++Ypm0hlU9YRlprR6vqX5I8vqf5+5L8wTyGuVuS/hL4HoSvUlV1VpIf72v+e5VFVr0rcvxN2+k+c+Zyq2narlxQNKwmP9e3/NcTiYIlr7V2uKreluQRPc0PTSdhYk5VdeOcWFnrX4YUHrACde/3/X2Sn+xb9Y9JfmGe07DCXO7ct+we4cr2d0k+ssBtX9q3/KokH15cOKwGVbUhyU36mlf8vWXJWnCdNyf55Z7lx1XV77XWDg+w7eP7lt/TWtsztMiAFaWqTkunOsBt+lb9f621v5hASKxs000l9G+TCITRa629eiHbVdX5OTFZ69WttS8vNiZWjfv0LR9KcvEkAmHs3pjjvw/dp6rObq0NekPlMX3L32ytOXZWr0fk+BehkuSVE4iDpeXjOT5B6yer6tcGvF9zzAP7li+Ph0zMoqoekORePU1XJvmHCYXD8vCmHJ+sda+qumVr7YsDbPtzOX4WlKuTfHCYwQErzkuT/Exf21uSPLK1dnQC8bBCVdW5SX60r9m95RWstfa+JO9byLZV1Z+s9b7W2isXHRSrwT2TnNzX9qlJBDJOpkGE6/xROg+VjrlZkqfMtVFV/UySH+hr/r0hxgWsIFW1JZ0vznfqW/W7rTXnDk5QVZsWse1Z6Xy+9bo6yfsXExNAr6raluRJfc3/2Vq7dgLhMH7vSfLfPcsbk/z+IBtW1fcneXBf898NKS6Wp0f3Lf9Xa+2zE4mEpeRdfcs3TvJLg25cVXfNieea96g4wUyq6rycWBXg11trK34aDhblX5K0nuU1SV4y10ZVdfOceA/6xfNMSAVWkap6UU4sIPDvSR7s3EG/Rd5bXpfONVH/lOJvXFRQACf6nb7lfUk+MIlAxkmyFnS11i5N8rd9zc+uqp+YaZuqukuSP+9rfkdr7T+HHR+w/HXLeL4hyT36Vv1pa+3pEwiJ5eElVfXn3WkRBlZVt0snKat/qs1nttYODik2YIWoqv5p6Abdbl06Uy9s71v1ysXGxPLQTXb4zb7mR1fVb8+2XVV9Z5LX5/j7EruT/OFwI2S5qKrbJ7ltX/MrJhELS87rkny7r+1FVfWwuTbs3rd5c068BzpnAgUrQ1WdW1U/NI/+90qnksA5Pc3vaa39/dCDY0XpTtn7rL7mH6uq5860TVWdnc59ot6H4Fck+ZPhRwisBFX1O0l+o6/5w0nu11o7MIGQWPp+pqre3r0uHljPZ9T9+1a9obV20bCCA1aGhd5b7m77m0nO72t+XWtt/6KCWgZMgwjHe1Y6Fx7ndpc3J3lzVf1Zkr9I8sXW2lT3gfnj0nnrqbck354kvz6+cFkKqupOObFK0jF3m6b/E2YZ7tWqUKxof5ITp4n6WpKL5zguZnLtQqc8Y1nZmOTnkzyxqv4znbd1L0ryqdbaVcc6dS+Gb5rkzkkemuR+Sdb1jfXeJC8bQ8zA8vMnVbU3yR+31vofiE+rqs5M8qokP9636tPpJHCxSrTW3ltV/5Djp/753ar6wSQvSvKBYw8OqupW3X5PyYlv5/5C72cbq85j+pYPJHntBOJgiWmt7e0mgL68p3l9kld3q52/LMmHjn2XrqqN6VwTPyrJY3Pi1Jqvbq19dPSRs0Scm+Tfq+oL6STu/VuSTxybrrf7PeqsdKY8vCDJT/Ztf0mSh48tWoZuzPftXp/O9/feKTSf0X2Z6gVJ/ru1dqhbmfZBSZ6e5CZ9YzyltbZ7ln0wYuM8Zqrq+kl+aobVZ0zT9lPd6n/TeV9rrc2wjhEbx3FTVQ9J8vy+5oPp3Ct8ZFUNGO3c+2I8xnS+WZPOfZsfr6rPp5OA9ZEkn0jyjd5pM7sJWrdP577yw5Js7RvrG0mePEsMjIFnkixRj6iq+yR5YWvtk4NsUFXrkzwvJ74Euj/JM4cc35IkWQt6tNYur6oHpjOVx7EkrPVJfq37c6CqjibZMs3mR9KZD/ziMYTK0nLfnPjm3Gz6S+n3emcSF0Yr122mabtROsmgC/GVJJK1Vo81Sb6/+5MkqaojSXalUyng1MxeNfV9SX6y+7YvQL/Tkvxykt+oqg8k+dd0EkM/01rbcaxTdzrfO6Vz4+7nu9v12pnkEb03+1g1fiGdh429U8T/cPdnqqp2pPMda+MM2z+vtfaakUbIktWtQNtfJenNvecfVrfW2iuq6jY5sZLET3Z/UlXXpnNvZms6187TuTCdzy9Wn+9I8tTuT6rqYDr3X7Zm5nvkn0vyo621K8YSIaMytvt23Zd8L0jyoSS9WRPHzlVHq2p3TryGPubFqrgtCeO813urObbvN1uSxGNz/FScjNc4jpvp7i1vTPLCeex30H0xHuN+tnSrJL1VsKe6n0sH0/ls6n/Jodc3kvxga+3rgwTKSHkmybyMKcFvXZKfSaea32fSmS71I0k+meTb3cr8x2Zp+M4kP5Lkl9IpQNDvia21r80Sw4ohWQv6tNY+3C2P/sYkN+xbPdPcztekk6j1tpEGBwDHW5cTpx7rtzedL29/JFELGMC6JD/U/UmSVNXhdBJDNyY5ZZZtdyS5f2vtU6MMkKWpW/nmx5L8ZY6vsJV0kiZm+rzam+RJrbW/G2V8LHn3TXJmX9srJxAHS1hr7alVdUmSP8jxVc6POXWOIV6W5Ddaa/uGHhzL0cZMX7UmSabSmYb1V1U4Yr5aa1dU1T2T/FOOT2JPOi9YTZeodSTJs1tr/RVzAGCU1mTua+hj10W/0Vq7ZvQhASMw7gS/7+r+HHO0+3LVVGZ/uepokqe21l45YJzL3mzVF2DVaq19LJ23FJ6fZLa353YleUmS8yRqATAiT05nOo6/S/LFAbc5kk5FnCcnuUlr7Q8kagGLsD7J6Zk9Ueu9Sb6ntfaB8YTEUtRa29tae2SSe6dzTEzN0v3yJC9OcjOJWiR5dN/yN9OpeA3Haa29LJ2KAM9Np9LwXHalM33iHVtrT2yt7RllfCxJl6ZzvPxXksNz9N2d5B/SOV4eJ1GLhWqtXZbk/CSPS6dC20wOpzM9550kagEwIq9J5zv6HyX5eOa+Hjrm0iS/n+TW3esiiVrAQq1NJ0lrW2ZO1Lo0yfmttRePK6ilYM3U1Gz3ToFuOb47JvmeJGelcxK5Kslnk3y0tXZwguEBsMpU1fYkt05nqqmz06kqMJXOg6idSS5J8snW2t6JBQksO1V12yQPTHLPJHfI3G9WJsnV6bxN9eettQtHGB7LVFWdleSuSW6ezjG1O8mVST6d5FPHSqADLFRV3TCdezbnpnPjd10618RXJflUkotNzcsxVXVSOvf3bpnrvksdTCeB+HNJLmqtHZpchKxUVVXpnKtumE5Vt2uTfCHJhab8BWCcqmpzOveWb5bkeum8mLchnc+mnelMd/jx1tpVEwsSGKqqenbmV1lrNjdrrX15mn1cL51pEM9P8r1JzhlgrP1J/jOdKv1vaq0Nmky6YkjWAgAA4P9U1Zp0kmtukeQG6VTV2pLkUDrTf1+dTrLN5yXbAAAAAABwTFWdk6SS3CjJmem8KJMkO9K5v/zFJJ9Y7S/LSNYCAAAAAAAAAAAYg7WTDgA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          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ],
      "source": [
        "'''\n",
        "Olmoe\n",
        "'''\n",
        "from collections import defaultdict\n",
        "custom_palette = {\n",
        "    'github': '#F0539B',\n",
        "    'arxiv': '#43C5E0',\n",
        "    'c4': '#2E3168',\n",
        "    'book': '#FDBE15',\n",
        "    'wikipedia': '#FF6B6B',\n",
        "}\n",
        "\n",
        "custom_palette = {\n",
        "    'GitHub': '#F0539B',\n",
        "    'arXiv': '#43C5E0',\n",
        "    'C4': '#2E3168',\n",
        "    'Books': '#FDBE15',\n",
        "    #'Wikipedia': '#FF6B6B',\n",
        "    #'Wikipedia': '#0FCB8C',\n",
        "    #'Wikipedia': '#105257',\n",
        "    #'Wikipedia': '#FAF2E9',\n",
        "    'Wikipedia': '#B11BE8',\n",
        "}\n",
        "\n",
        "FONTSIZE = 32\n",
        "\n",
        "\n",
        "# Function to prepare data\n",
        "def prepare_data(data):\n",
        "    df = pd.DataFrame(data)\n",
        "    df = df.reset_index().melt(id_vars='index', var_name='Domain', value_name='Value')\n",
        "    df = df.rename(columns={'index': 'Expert ID'})\n",
        "    # Rename the domain names\n",
        "    df['Domain'] = df['Domain'].map({'github': 'GitHub', 'arxiv': 'arXiv', 'c4': 'C4', 'book': 'Books', 'wikipedia': 'Wikipedia'})\n",
        "    return df\n",
        "\n",
        "# Function to create subplot\n",
        "def create_subplot(ax, data, title):\n",
        "    #sns.barplot(x='Expert ID', y='Value', hue='Domain', data=data, ax=ax, palette=custom_palette)\n",
        "    b = sns.barplot(x='Expert ID', y='Value', hue='Domain', data=data, ax=ax, palette=custom_palette)\n",
        "    b.set(xlabel=None)\n",
        "    b.set(ylabel=None)\n",
        "    #ax.axhline(y=1/64*100, color='grey', linestyle='--', linewidth=2, alpha=0.7)\n",
        "    ax.axhline(y=1/64*100, color='grey', linestyle='--', linewidth=4, alpha=0.7)\n",
        "    ax.set_title(title, fontsize=FONTSIZE, pad=10, fontweight='bold', loc='left')\n",
        "\n",
        "\n",
        "    ax.tick_params(axis='both', which='major', labelsize=FONTSIZE)\n",
        "    ax.set_ylim(0, 10)\n",
        "    ax.set_axisbelow(True)\n",
        "    # axis=\n",
        "    ax.grid(True, axis='y', linestyle='-', alpha=0.3, color='#FFE5B4')\n",
        "    # ax.legend(loc='upper right', title='Domain', title_fontsize='12', fontsize='10')\n",
        "    # ax.tick_params(axis='x', rotation=45, ha='right')\n",
        "\n",
        "def select_first_16(data_layer0):\n",
        "    data_layer0_new = defaultdict(dict)\n",
        "    for domain in data_layer0.keys():\n",
        "        for eid, token2count in data_layer0[domain].items():\n",
        "            if eid > 15:\n",
        "                continue\n",
        "            else:\n",
        "                data_layer0_new[domain][eid] = token2count\n",
        "    return data_layer0_new\n",
        "\n",
        "# Set up the plot style\n",
        "plt.style.use('seaborn-v0_8-poster')\n",
        "plt.style.use('seaborn-v0_8-darkgrid')\n",
        "sns.set_style(\"white\")\n",
        "\n",
        "# Create the figure and subplots\n",
        "fig, (ax1, ax2, ax3) = plt.subplots(3, 1, figsize=(24, 10), sharex=True, layout='constrained')\n",
        "fig.patch.set_facecolor('none')\n",
        "\n",
        "# Prepare data for each layer\n",
        "data_layer0 = select_first_16(data_layer0)\n",
        "data_layer7 = select_first_16(data_layer7)\n",
        "data_layer15 = select_first_16(data_layer15)\n",
        "\n",
        "df_layer0 = prepare_data(data_layer0)\n",
        "df_layer7 = prepare_data(data_layer7)\n",
        "df_layer15 = prepare_data(data_layer15)\n",
        "\n",
        "# Create subplots\n",
        "create_subplot(ax1, df_layer0, 'Layer 0')\n",
        "create_subplot(ax2, df_layer7, 'Layer 7')\n",
        "create_subplot(ax3, df_layer15, 'Layer 15')\n",
        "\n",
        "# Adjust layout\n",
        "# plt.tight_layout()\n",
        "\n",
        "# Create a single legend for the entire figure\n",
        "handles, labels = ax3.get_legend_handles_labels()\n",
        "fig.legend(handles, labels, title='Domain', loc='upper center', title_fontsize=FONTSIZE, fontsize=FONTSIZE, ncol=len(labels), bbox_to_anchor=(0.5, 1.08))\n",
        "\n",
        "#fig.supylabel('Selection proportion (%)', fontsize=FONTSIZE, fontweight='bold')\n",
        "fig.supylabel('Domain specialization (%)', fontsize=FONTSIZE, fontweight='bold')\n",
        "fig.supxlabel('Expert ID', fontsize=FONTSIZE, fontweight='bold')\n",
        "\n",
        "# Remove individual legends from subplots\n",
        "ax1.get_legend().remove()\n",
        "ax2.get_legend().remove()\n",
        "ax3.get_legend().remove()\n",
        "\n",
        "# Show the plot\n",
        "plt.savefig('routing_olmoe.jpg', format='jpg', bbox_inches='tight')\n",
        "plt.savefig('routing_olmoe.pdf', bbox_inches='tight')\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 22,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 484
        },
        "id": "qrAlgfOnpn_D",
        "outputId": "8510e149-6023-4107-96a1-aef1028727bc"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 2400x1000 with 3 Axes>"
            ],
            "image/png": 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          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ],
      "source": [
        "'''\n",
        "olmoe: the entire plot.\n",
        "'''\n",
        "\n",
        "custom_palette = {\n",
        "    'github': '#F0539B',\n",
        "    'arxiv': '#43C5E0',\n",
        "    'c4': '#2E3168',\n",
        "    'book': '#FDBE15',\n",
        "    'wikipedia': '#FF6B6B',\n",
        "}\n",
        "\n",
        "custom_palette = {\n",
        "    'GitHub': '#F0539B',\n",
        "    'arXiv': '#43C5E0',\n",
        "    'C4': '#2E3168',\n",
        "    'Books': '#FDBE15',\n",
        "    'Wikipedia': '#FF6B6B',\n",
        "    'Wikipedia': '#B11BE8',\n",
        "}\n",
        "\n",
        "FONTSIZE = 28\n",
        "\n",
        "# Function to prepare data\n",
        "def prepare_data(data):\n",
        "    df = pd.DataFrame(data)\n",
        "    df = df.reset_index().melt(id_vars='index', var_name='Domain', value_name='Value')\n",
        "    df = df.rename(columns={'index': 'Expert ID'})\n",
        "    # Rename the domain names\n",
        "    df['Domain'] = df['Domain'].map({'github': 'GitHub', 'arxiv': 'arXiv', 'c4': 'C4', 'book': 'Books', 'wikipedia': 'Wikipedia'})\n",
        "    return df\n",
        "\n",
        "# Function to create subplot\n",
        "def create_subplot(ax, data, title):\n",
        "    # sns.barplot(x='Expert ID', y='Value', hue='Domain', data=data, ax=ax, palette=custom_palette)\n",
        "    b = sns.barplot(x='Expert ID', y='Value', hue='Domain', data=data, ax=ax, palette=custom_palette)\n",
        "    b.set(xlabel=None)\n",
        "    b.set(ylabel=None)\n",
        "\n",
        "    #ax.axhline(y=1/64*100, color='grey', linestyle='--', linewidth=2, alpha=0.7)\n",
        "    ax.axhline(y=1/64*100, color='grey', linestyle='--', linewidth=4, alpha=0.7)\n",
        "    # ax.set_title(title, fontsize=FONTSIZE, pad=10, fontweight='bold')\n",
        "    ax.set_title(title, fontsize=FONTSIZE, pad=10, fontweight='bold', loc='left')\n",
        "\n",
        "\n",
        "    #ax.set_xlabel('Expert ID', fontsize=FONTSIZE, labelpad=5)\n",
        "    # ax.set_ylabel('Selection proportion', fontsize=15, labelpad=5)\n",
        "    #ax.set_ylabel('Domain specialization (%)', fontsize=FONTSIZE, labelpad=5)\n",
        "    # ax.set_facecolor('none')\n",
        "    ax.tick_params(axis='both', which='major', labelsize=FONTSIZE)\n",
        "    ax.set_ylim(0, 10)\n",
        "    ax.set_axisbelow(True)\n",
        "    # axis=\n",
        "    ax.grid(True, axis='y', linestyle='-', alpha=0.3, color='#FFE5B4')\n",
        "    # ax.legend(loc='upper right', title='Domain', title_fontsize='12', fontsize='10')\n",
        "    # ax.tick_params(axis='x', rotation=45, ha='right')\n",
        "\n",
        "# Set up the plot style\n",
        "plt.style.use('seaborn-v0_8-poster')\n",
        "plt.style.use('seaborn-v0_8-darkgrid')\n",
        "sns.set_style(\"white\")\n",
        "\n",
        "# Create the figure and subplots\n",
        "fig, (ax1, ax2, ax3) = plt.subplots(3, 1, figsize=(24, 10), sharex=True, layout='constrained')\n",
        "fig.patch.set_facecolor('none')\n",
        "\n",
        "# Prepare data for each layer\n",
        "df_layer0 = prepare_data(data_layer0)\n",
        "df_layer7 = prepare_data(data_layer7)\n",
        "df_layer15 = prepare_data(data_layer15)\n",
        "\n",
        "# Create subplots\n",
        "create_subplot(ax1, df_layer0, 'Layer 0')\n",
        "create_subplot(ax2, df_layer7, 'Layer 7')\n",
        "create_subplot(ax3, df_layer15, 'Layer 15')\n",
        "\n",
        "# Adjust layout\n",
        "#plt.tight_layout()\n",
        "\n",
        "# Create a single legend for the entire figure\n",
        "handles, labels = ax3.get_legend_handles_labels()\n",
        "fig.legend(handles, labels, title='Domain', loc='upper center', title_fontsize=FONTSIZE, fontsize=FONTSIZE, ncol=len(labels), bbox_to_anchor=(0.5, 1.08))\n",
        "\n",
        "# Remove individual legends from subplots\n",
        "ax1.get_legend().remove()\n",
        "ax2.get_legend().remove()\n",
        "ax3.get_legend().remove()\n",
        "\n",
        "# Set x ticks\n",
        "ticks = ax3.get_xticks()\n",
        "ax3.set_xticks(ticks[::2])\n",
        "\n",
        "#fig.supylabel('Selection proportion (%)', fontsize=FONTSIZE, fontweight='bold')\n",
        "fig.supylabel('Domain specialization (%)', fontsize=FONTSIZE, fontweight='bold')\n",
        "fig.supxlabel('Expert ID', fontsize=FONTSIZE, fontweight='bold')\n",
        "\n",
        "# Show the plot\n",
        "plt.savefig('routing_olmoe64.jpg', format='jpg', bbox_inches='tight')\n",
        "plt.savefig('routing_olmoe64.pdf', bbox_inches='tight')\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import numpy as np\n",
        "import seaborn as sns\n",
        "import matplotlib.pyplot as plt\n",
        "\n",
        "FONTSIZE = 32\n",
        "\n",
        "# Custom color palette\n",
        "custom_palette = {\n",
        "    'github': '#F0539B',\n",
        "    'arxiv': '#43C5E0',\n",
        "    'c4': '#2E3168',\n",
        "    'book': '#FDBE15',\n",
        "    'wikipedia': '#FF6B6B',\n",
        "}\n",
        "\n",
        "# Create a figure with 3x4 subplots\n",
        "fig, axes = plt.subplots(3, 4, figsize=(24, 13), sharex=True, sharey=True, layout='constrained')\n",
        "# fig.suptitle('Routing Probability Distribution by Domain and Expert', fontsize=16, y=0.95)\n",
        "\n",
        "# List of experts and domains\n",
        "experts = [0, 4, 7]\n",
        "domains = [\"github\", \"arxiv\", \"c4\", \"book\"] #  \"wikipedia\"\n",
        "domain_to_title = {\n",
        "    'github': 'GitHub',\n",
        "    'arxiv': 'arXiv',\n",
        "    'c4': 'C4',\n",
        "    'book': 'Books',\n",
        "    'wikipedia': 'Wikipedia',\n",
        "}\n",
        "\n",
        "# Iterate through experts and domains to create subplots\n",
        "for row, expert in enumerate(experts):\n",
        "    for col, domain in enumerate(domains):\n",
        "        ax = axes[row, col]\n",
        "\n",
        "        # Get the correct data based on the expert\n",
        "        data = globals()[f'domain2rout_prob{expert}'][domain]\n",
        "\n",
        "        # Multiply x and y data by 100 to convert to percentage\n",
        "        data = np.array(data) * 100\n",
        "\n",
        "        # # Plot histogram\n",
        "        # sns.histplot(data, ax=ax, color=custom_palette[domain], kde=True, stat='probability')\n",
        "\n",
        "        # Plotting the probability histogram\n",
        "        # g = sns.histplot(data, ax=ax, color=custom_palette[domain], kde=True, stat='probability')\n",
        "        g = sns.histplot(data, ax=ax, color=custom_palette[domain], kde=True, stat='percent')\n",
        "        g.set(xlabel=None)\n",
        "        g.set(ylabel=None)\n",
        "        #ax.set_ylabel('Frequency (normalized)')\n",
        "\n",
        "        # # Creating a twin axis to show counts\n",
        "        # ax2 = ax.twinx()\n",
        "        # sns.histplot(data, ax=ax2, color=custom_palette[domain], kde=False, stat='count')\n",
        "        # ax2.set_ylabel('Frequency')\n",
        "        # ax2.grid(False)  # Optionally turn off the grid for the secondary axis\n",
        "\n",
        "\n",
        "        # Add mean line\n",
        "        #ax.axvline(x=1/8, color='grey', linestyle='--')\n",
        "        if model == \"olmoe\":\n",
        "            ax.axvline(x=1/8*100, color='grey', linestyle='--')\n",
        "        else:\n",
        "            ax.axvline(x=2/8*100, color='grey', linestyle='--')\n",
        "        ax.tick_params(axis='both', which='major', labelsize=FONTSIZE)\n",
        "\n",
        "        # Set labels and title\n",
        "        # ax.set_xlabel('Routing Probability')\n",
        "        # ax.set_ylabel('Frequency')\n",
        "\n",
        "        # Set yticks\n",
        "        ax.set_yticks([10, 20, 30, 40])\n",
        "\n",
        "        # set the y-axis range\n",
        "        #ax.set_ylim(0, 0.5)\n",
        "\n",
        "        # Set title for top row only\n",
        "        if row == 0:\n",
        "            ax.set_title(domain_to_title[domain], fontsize=FONTSIZE)\n",
        "\n",
        "        # Add legend\n",
        "        if row == 0 and col == 0:  # Only add legend to the first plot\n",
        "            ax.legend()\n",
        "\n",
        "    # Add subtitle for each row\n",
        "    if row == 0:\n",
        "        fig.text(0.5, 0.95, f'Expert {expert}', ha='center', va='center', fontsize=FONTSIZE, fontweight='bold')\n",
        "    else:\n",
        "        fig.text(0.5, 0.89 - row*0.28, f'Expert {expert}', ha='center', va='center', fontsize=FONTSIZE, fontweight='bold')\n",
        "\n",
        "\n",
        "fig.supxlabel('Routing Probability (%)', fontsize=FONTSIZE, fontweight='bold')\n",
        "fig.supylabel('Frequency (normalized %)', fontsize=FONTSIZE, fontweight='bold')\n",
        "\n",
        "# Adjust layout and display plot\n",
        "# plt.tight_layout()\n",
        "plt.subplots_adjust(top=0.9, hspace=0.45)\n",
        "# plt.subplots_adjust(top=0.88, hspace=0.3, bottom=0.05)\n",
        "# save the plot\n",
        "plt.savefig(\"routing_prob_distribution.png\")\n",
        "plt.savefig(\"routing_prob_distribution.pdf\")\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 659
        },
        "id": "S2SavU5q2VXB",
        "outputId": "c70a3b4c-4b10-4329-a1ed-e00195de4f6d"
      },
      "execution_count": 39,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "WARNING:matplotlib.legend:No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.\n",
            "<ipython-input-39-6d86b1b8c235>:97: UserWarning: This figure was using a layout engine that is incompatible with subplots_adjust and/or tight_layout; not calling subplots_adjust.\n",
            "  plt.subplots_adjust(top=0.9, hspace=0.45)\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 2400x1300 with 12 Axes>"
            ],
            "image/png": 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pJ8XHxys3N9fqWB8fH9199916+OGHNWDAAFWoUMHh+wwaNEg7duyw2n/48GG7a8TExFjta926tdkxVA888IDOnj3rUHw7duxwev3p06drxowZVud89dVXVo/Q2759uwYPHmx17siRI/OOxTx9+rQ+//xz/fTTT1b/IN+iRQv96U9/UuvWra2uacvKlSs1d+5cHTlyxGJ/nTp11L9/fw0cOFABAQGSbP97REZGasOGDS7F4ikhISFq0qSJzZ/LS5cuWWxfsWKF/vznP1ud949//EN9+vSRdOtna/r06Rbv07VrV7vFWvv379fChQu1detWu7vnBQUF6Z577lG/fv308MMPy8fH/ZvEp6Wlaf78+VqxYoXV56tBgwZ64YUX9Oijjzq87qFDh7R161bt2bNH8fHxOnv2rM3XozsFBwerQ4cO6tWrlzp27Cg/P/f/Ci8pKUmzZ8/W999/r8uXL5v1GwwGtWjRQqNGjbJ4fJ0lCQkJ6tq1q9X+3r17a/LkyS7HbMuECRP07bffWu2PjY1VjRo18q7tvd7lZ+vrur1+YGCgOnfurMzMTItjOnXqpNmzZzt8z7feesvsuL87rVq1yubrliuysrK0bt06q/2OFGOWKVPG4rq27unIGqmpqXr//fdN2ho0aKCnnnrKbkyuCAgIUNu2bRUbG2vWZzQatXr1aod2NAQAAAAAID+OQQQAAAAAFInbBTK2OLPrVVZWlj788EN17txZH3/8sQ4ePGi3MCI3N1eHDx/W9OnT1aVLF02ZMsXqH9nhHgsWLNBjjz2m5cuXWy3UkqQ9e/Zo0KBBmjNnjlPrp6SkaMiQIXr99detFmpJ0okTJzR58mT169dPZ86cceoexZm9HcmSkpJcXttoNOqDDz7Q4MGDbRaEWXP69GkNHjxYTz75pFauXOnQMafp6enavHmzRo8erYcfflibNm1yJXSrDh48qMcff1zTp0+3WQh56NAhjRkzRi+88IJSU1MdWvu9997TlClTtG7dOp05c8bhQi3pVgHZ2rVrNWLECPXr10/x8fEOz3XEli1b9Oijj2r+/PkWC7WkW//eu3fv1tChQ/XnP//ZZrENbqlYsaJ69uxptf/XX391+PUmOztbq1evttrfvHlztxdqSdLu3bst7owlKW/nN3vKly9v1nbx4kWr4y31hYeHm7VNmzbNpODUYDBo4sSJhbr7nq2C4V9++aXQ7gsAAAAA8G4UawEAAAAAioS9ohF/f39FR0c7tNb58+c1cOBAff755zaPgLPlxo0bmjt3rgYMGODw7lVwnNFo1N/+9je9++67ThXEvf/++1q5cqVDY5OSkjR48GD95z//cXj9+Ph4DRw40GsKtux9by3tVuOod999V7Nnz5bRaHR67po1a9S7d29t377d5fufOXNGL774ot5//32nCp+s2bt3rwYNGuTU875p0yY9++yzDhdsucPBgwfVt29ftx1huX79er344ou6evWqw3NWrFih0aNHU8zqgKFDh1o9wjI3N1dLly51aJ3Nmzfb/Dfq16+fS/HZ8+uvv1rta9GihUPHc1o6ZvbChQs6d+6cWfvZs2ctFms1aNDA5Prw4cNmu4z16tVL99xzj914CqJVq1ZW+3bv3m3xiEQAAAAAAOyhWAsAAAAAUCR+++03m/0tWrRwaPet5ORkPfPMM/r999/dEldcXJyGDRum5ORkt6yHW5YsWaIlS5a4NPedd95RSkqKzTFGo1GvvfaaSzsQXbx4US+++KJLsRU3x48ft9lfsWJFl9b94Ycf9NVXX7k0NzY2VmPGjHFLgZPRaNScOXM0ZcqUAq1z/fp1jRgxwqWY9u7dqwkTJhTo/s7KysrSyy+/rAsXLhRondOnT+u1115zaZes2NhYffDBBwW6f2lQt25dm0cFLl++3KGit++//95qX3BwsFNHcjpjz549VvsaNmzo0BotW7a0eHSnpdeQ/MfxSreKtVu2bGnSNmnSJGVnZ+ddh4aGaty4cQ7FUxD16tWzegxpVlaW9u/fX+gxAAAAAAC8D8VaAAAAAACPS0pKslv40b9/f7vrGI1GvfLKKzp58qSbIrvl5MmTGjVqlEs7CMGyghy/d+3aNbu7ay1evFhbt251+R72ipxKgoMHD9r9OmrVquXS2lu2bHFp3tGjRzV27Fi37IR1p/nz52vFihUuz7927VqBfibXrVunVatWuTzfFSkpKZo9e3aB1rhw4YJu3Ljh8vyvvvpKu3btKlAMpcGwYcOs9iUnJ+vHH3+0OT89PV0bNmyw2t+jRw8FBQW5HJ81ubm5OnjwoNV+R49dLF++vLp3727WvmDBAs2ePVspKSm6du2a5s6dqwULFpiNe+yxx0yOQfzuu+/Mfu5Gjx7tcvGpMwICAmy+bsbFxRV6DAAAAAAA72P5Y0EAAAAAALhZZmamEhMTtW3bNn322WdKTEy0OrZVq1bq0aOH3TVXr15t91i18uXL69lnn9X999+v8uXLKzk5WVu3btWcOXN05coVq/N27Nih1atXF9ruJa7o1auXyY5fX3/9tdWxEREReuihh6z216xZ052hOcxgMKhv377q1auXatSooeTkZK1atUpffvmlcnJyrM5bvXq1hgwZYrEvMzNTM2fOtHvvzp07a8CAAbr77ruVk5Oj/fv3a968edq3b5/LX09xce3aNf3lL3+xO+7+++93y/3q1aunFi1aKDw8XFevXtXZs2e1d+9es3FTpkxRenq6zbVatWqlp59+Wg0bNlRAQIBOnTqlVatWacWKFTYLJqdOnapHHnmkwEUr7dq109NPP62YmBgZDAYdO3ZMixcv1qZNm2zOmzZtmnr06CEfH+ufhfTx8VH9+vXVpEkT1a9fX5GRkapataqCgoJUtmxZSVJGRoYuXbqk+Ph4rVmzRjt27LC63vLly/WnP/1JISEhrn2xd3jkkUfUr18/1alTR9nZ2Tp48KC+/PJLmzsr5ebm6uOPP9aiRYsKfP+i1rRpUw0cODDvetu2bTpx4oTV8b169VJwcLDV/jv/Tdq0aaNGjRrpwIEDFsd+/fXX6tWrl9W11q9fb/O5caSY2RUJCQk27+vM+8aoUaMUGxtrsl5ubq4++OADmzu0hYSEaOTIkXnXqampmjp1qsmY+vXra8CAAQ7HUlC1a9fWsWPHLPYdPnzYY3EAAAAAALwHxVoAAAAAgEIxY8YMzZgxw+l5devW1fTp02UwGGyOMxqNdtevWbOmFi1apIiIiLy2KlWqKCYmRo8//rgGDhxoc1eu6dOnq3v37nZj8ZRXXnnF5NpWsVatWrU0ceLEwg7JKb6+vvroo4/UrVu3vLaqVauqfv36qlGjht566y2rcw8dOqScnBz5+vqa9f3444+6fPmyzXu/9NJLGj16tElbVFSUunXrprFjx+rf//63k19N0cvOzlZiYqK2bNmiWbNmKSEhweb4gIAAPfjggwW6Z82aNfXuu++qVatWZn2ZmZk6evRo3vXevXv1yy+/2Fxv4MCBevPNN02esWrVqqlt27bq2LGjxowZY3VXrqSkJC1atEgvvPCCi1/NrR2QXn/9dZO2GjVqqHPnzvr444/12WefWZ2bkJCgDRs2WP2ePv/885o6daoqV65sN47o6Gi1bNlSAwcO1IcffqjPP//c4ribN29q9+7d6tixo901bXnjjTc0aNAgsxgefvhhTZgwQd99953VuTt37lR8fLzq169foBiKWqdOnUyOK5wwYYLNYq1Ro0apRo0aDq8/bNgwvfbaaxb79u3bp/3796tx48YW+20dgdioUSOr8wrK3mtI1apVHV6rZs2amjx5slPHbvr7++u9995TVFRUXtsnn3yiS5cu5V0bDAZNnDjR4ntBYalSpYrVvnPnznksDgAAAACA9+AYRAAAAABAsWAwGNSzZ08tW7ZMFSpUsDs+Pj7e5pFvBoNBU6ZMMSnUulOlSpU0ZcoUm4VYJ06cUHx8vP3g4ZCnn37apFDrTv3791doaKjVuTdu3LD6R/HY2Fib923evLlZodttPj4+evvtt23+Mb44+PbbbxUTE2Pyv0aNGqlLly5644037BZZSNLgwYOdKrbIr3r16lqyZInFQi3pVjFYo0aN8q7tFcDVq1dPf/nLX6w+g4888oj+53/+x+YaBSmyi4mJ0dixY632jx492m5RzNq1a6323XfffQ4VauXXu3dvm/27d+92es07de7c2axQ6zYfHx+99dZbdn9O1qxZU6AYSoNHHnlE1atXt9pvrdg2KSnJ5pGu/fr1K3Bs1pw/f95qX0BAgMnRhI7o1q2b5syZY/P7cFtkZKTmzp1rUvx45MgRs+9Tz5491bJlS7P5u3bt0ltvvaXHH39cbdq0UePGjdW2bVv16dNH7777rvbv3+9U7Hey9Rzb+p4BAAAAAGANO2sBAAAAAIrcY489pueff14NGjRweM7mzZtt9rdo0ULNmze3OaZZs2Zq0aKFzeKHrVu3OhUXLPP19dVzzz1ntd/Pz0933323zX+L69evW2z/7bffbN578ODBNovygoOD1b9/f02fPt3mOiVZgwYNNGLEiAKt8eabb6pixYoOj9+yZYvN/sGDB8vPz/avpoYOHaolS5ZY7T98+LCSkpIcKvDMb9CgQTZ35zEYDHr66ac1YcIEq2NsHRl4p8uXL2vjxo2Ki4vTyZMnlZCQoLS0NGVkZOjGjRtOxX3x4kWnxudn7TjR2wIDA9WvXz+bz4OjX3dp5ufnp8GDB2vy5MkW+3/88UdNmDBBYWFhJu2rV69Wdna2xTmBgYF6/PHH3R7rbdZeYyW5fNxou3bttHbtWn333XfauHGjDh48qKSkJElShQoV1LBhQ3Xp0kVPPPGEAgICTOZOmjTJ5HsRGhqqcePGmYxJTEzU66+/brHA7erVq7p69aoOHDigBQsWqFu3bnrnnXdsFgZbYutrt/U9AwAAAADAGoq1AAAAAABF7ueff1ZYWJjGjRvn8B+E4+LibPZ36NDBoXU6dOhgs0Do999/d2gd2NaoUSOru5zdVr58eZv9aWlpZm2XL1/WlStXbM5r166d3fjatWvntcVad911l+bOnauQkBCX14iMjFSXLl0cHp+WlmZz5zvJsWe0Zs2aioqK0pkzZyz2G41G7du3T507d3Y4ttvat29f4DFnzpzRtWvXVK5cOYv9cXFx+vjjj7VlyxYZjUanY7QkJSXF5bn+/v6699577Y5r3769zefhwIEDLsdQmvTr108zZsxQamqqWd+NGzf0r3/9S8OGDTNpt3UEYvfu3Qv0HNuTkZFhta9s2bIurxsQEKB+/fo5tSvYqlWrtHPnTpO2UaNGqVKlSnnXCQkJeuqpp5SYmOjQmmvXrtXRo0e1dOlSsyI5WwIDA6322fqeAQAAAABgDccgAgAAAACKXHp6uhYvXqz+/fvrwoULDs2xV6Bz9913O7TOXXfdZbP/6tWrDq0D22JiYuyOsVcMkJuba9aWnJxsc05YWJhDuy7VqVPH7piSxsfHR4MHD9by5cud2hHLkjZt2tjcnSy/2zvnWBMcHKxq1ao5tJa9Z9TevSwJDAxUZGSk3XFVqlRRcHCwS/f/4osv1K9fP23evNlthVqSLBb+OCo6Olr+/v52x9l7Hq5fv66srCyX4ygtQkJC1L9/f6v9S5cuNfnZOHPmjM1dy2ytVdjc+TNsT2pqqqZMmWLSFhMTo6effjrvOjs7W6NGjXK4UOu2EydOaPz48U7N8eTXDgAAAAAoHSjWAgAAAAAUiiZNmmjgwIEaOHCgunfvrkaNGtmdc/ToUb344ou6efOm3bH2iqgcPebI2o44t7lSCAJz4eHhdsfYOxLPkmvXrtnsd3QXmsLcrcbTIiIi9Oyzz2r16tX6v//7P5u7wjiqbt26To2393zae+7uZO9ZduUZdebf2979Le10tWTJEk2dOrVQijwKsqaj33dHXj8LssNXaTJkyBCrr22nTp3Sr7/+mnf9ww8/WF2nXr16atGihdvju5Ot1wpH3pfdZfr06bp06ZJJ28SJE02OLV21apUOHjxoNrd169b6/vvvFRcXp2+++cZiofDGjRu1fft2h+OxtXuWO15fAQAAAAClD8cgAgAAAAAKRadOnTRq1CiTtgMHDuivf/2rzSMM4+Pj9fHHH+v1118v7BALVW5urnx8rH9G6saNGx6MpuiVKVPG7hhb3y9rAgICbPY7uvtPcd8lqE6dOhaPc/T391dISIhCQ0MVGRmpxo0bO7xjlTOcKa4q7ZKSkvT+++8XdRgoJqpWraru3btbPd5w8eLF6tixoyTbxVrOHCHoKlu7yFk6hrYwHD16VIsWLTJpe+KJJ9SqVSuTtmXLlpnNjYiI0KxZs/K+jqZNm2r27Nnq1q2b2XvusmXL1KZNG4diSk9Pt9rnTYW+AAAAAADPoVgLAAAAAOAxjRo10pdffqn+/fvr+PHjVsd99dVX6tu3r83dfMqXL2/zXtevX3coJns7MzlyhJ4l2dnZNguJ7B3fB8eEhYXZ7E9JSbFbOCdJly9fdmdYbtesWTNNnDixyO7v7K5n9p5Pe8/dnew9y648o84cJWjv/vl/BtesWWN3/SeeeEK9e/dWTEyMwsLCTL6/CQkJ6tq1q8PxOcPR77sj4+w9e/j/hg0bZrVYa9OmTTp79qyuXbumY8eOWRxTpkwZ9ezZszBDlCSbhZ5ZWVm6evWq3We7oCZNmqTs7Oy865CQELNjC9PT0y0Wfffs2dOs4Kxq1arq0qWLVq9ebdK+Y8cOh2OyddRi1apVHV4HAAAAAIDbOAYRAAAAAOBRISEhmjx5sgwGg9Ux2dnZ+vDDD22uU7FiRZv91v7onZ+tojHJetGJrfgl+7uQHD582HZgcEjlypVtFhLdvHlTJ06csLvO/v373RlWqWevgCotLU0XLlxwaC17z6grxVoZGRk6e/as3XEXL160+yznv/+WLVtsjn/11Vc1depUtW/fXhUrVjT7+XWmkMxZp0+fdmgXOXvPTGhoqPz9/d0Vltdr2LCh2rZta7EvNzdXS5cu1apVq6zOf/jhhz1SHFejRg2b/RcvXizU+3///fdmRVSjRo1S5cqVTdrOnz9vUtB1m7Xjli21JyYmKjMz06G4bH3dkZGRDq0BAAAAAMCdKNYCAAAAAHhc06ZN1aNHD5tj1q9fr0OHDlntb9Kkic35mzdvdigWe+OaNWtmsT0oKMjmPHs7NW3YsMF2YHBI2bJl1aBBA5tj1q1bZ3cdW8ePwXnBwcE2d8aTpF9//dXuOqdPn9bp06et9hsMBruvBdZs3brV7hh7hVdRUVFmR0TaK0IbMGCAzf49e/bYjctVWVlZ2rlzp91x9r431opiSjJ7BbgFNWzYMKt9y5cv17///W+r/f379y+MkMxERUUpMDDQav/JkycL7d6pqal67733TNrq1aunp59+2mxsSkqKxTXCw8Odand0h8s//vjDal9MTIxDawAAAAAAcCeKtQAAAAAARWLEiBF2j6b79NNPrfZ16NDB5tzdu3dr3759NsfExcVp9+7dNse0b9/eYnv+Ao38Dhw4YLXv4sWLNndRcZStP6qXpmMW27RpY7P/yy+/1JUrV6z2b9u2TbGxse4Oq9S77777bPYvXLhQOTk5NscsWLDAZn9MTIzdXfasWbRokXJzc632G41Gff311zbXaNGihVmbvZ2xbt68abUvMzPT7tdcUPbWz8jI0PLly22OsfR1l3Rly5a12V/Q19SOHTvqrrvustiXlJRkdfem2rVrq3Xr1gW6t6N8fX1Vv359q/1HjhwptHvPmDFDly5dMmmbOHGixZ0Trf1bWdspy9pucvb+zaVbz+upU6es9jdu3NjuGgAAAAAA5EexFgAAAACgSNStW1cPP/ywzTHr16+3elxg/fr1be7cYzQaNW7cOLM//t525coVjR8/Xkaj0eoaderUsfqH69q1a9uIXPrqq68s/uE4PT1dr776qtLT023Od0RoaKjVvqNHj5aao/369etnc1ec5ORkDR061OJxej///LNGjRpVmOGVWo899pjN/sOHD+sf//iH1f5169ZpyZIlBbqHLfHx8Zo6darV/mnTptl9hrp162bWZq+Qc8WKFRbbb968qbFjx9rcxccdNm7cqEWLFlnsMxqN+tvf/mZ3d7BHHnmkMEIrUvb+3VauXFmg9Q0Gg5555hmn5/Xr169A93WWrUI8W7tdFsTRo0e1cOFCk7bHH39c9957r8Xx1go0ExISLLZbOvI0ICDA7r+5dOt1ylpRqb+/v8s7+wEAAAAASjfzjyYBAAAAAOAhw4cP15o1a6z2G41GzZw5U9OmTTPrMxgMGjlypMaMGWN1/smTJ/XEE0/oueee03333acKFSooOTlZW7du1Zw5c+weVThq1CirRUBNmza1OffAgQMaPHiwRowYofr16ystLU27du3S7NmzdebMGZtzHVW7dm0lJiZa7DMajXrqqafUunVrRUZGmu1OMnbsWLtHOZYUtWrVUpcuXWweLXn48GH16NFDzZs3V+3atZWTk6P9+/fr2LFjHoy0dGnevLk6duyoX375xeqYhQsXKj4+XoMGDVLDhg3l7++v06dPa9WqVfrXv/5lc+erChUqWDwizRnz5s1TfHy8nn76acXExMhgMOjYsWNavHixNm7caHNujRo19MADD5i1161b1+aufp988onOnz+vJ554QpGRkcrIyNCuXbs0b948nThxokBfj6Pefvtt7dq1S/369VOdOnWUnZ2tgwcPav78+XaPYbz33ntt7r5UUtkrwF24cKG2b9+uhg0bKjg42KTvoYceUrt27ezeo2fPnvr444/tvvfc5u/vr969ezs01l3uv/9+zZs3z2Lf7t27ZTQa3X5k5KRJk5SdnZ13HRwcrPHjx1sdX6VKFVWtWtWsqPDXX3/VwIEDzcZbOnLV3nv4bbt27bLa16JFC4WEhDi0DgAAAAAAd6JYCwAAAABQZBo0aKAuXbro559/tjrmp59+0rFjxyweH9W9e3ctXbpU27dvtzo/KSlJU6ZMcTq21q1bq3v37lb77733XlWoUEFJSUlWx+zZs0cvvPCC0/d2VIsWLWx+7ZmZmdq8ebPFvpEjR3pNsZYkvfHGG9qxY4fNI+hyc3O1e/duu0dfwn3Gjx+vXbt22dxJbufOndq5c6fTa7ur4HDr1q3aunWr0/NGjx5t8SjXzp0769tvv7U6LycnR0uXLtXSpUudvqc7rV69WqtXr3Zqjo+Pj1599dXCCaiIOXK045EjRyweBRgZGelQsVZAQIAGDhxosQDZkq5du6pChQoOjXWXVq1aKSgoyOIzm5ycrCNHjigmJsZt9/vhhx+0Y8cOk7ZRo0YpIiLC5rwuXbqY7by3ceNGbdq0SZ06dcprW7ZsmcUdOjt37uxQfPlju9Od9wEAAAAAwBkcgwgAAAAAKFLDhw+32Z+bm6vPPvvMYp/BYNAnn3yiWrVquTWmWrVqafr06TZ3DwkICNBTTz3l8j3Kly/v8tzb+vTp4/YdTkqqyMhIvfXWWy5/P0aMGOHmiCBJd999t95//32LRU0FMXToUD355JMuzw8NDVV4eLjL8x966CE98cQTVvvq1Knj8tp9+/Z1ea49ERERCggIcHn+4MGD1apVKzdGVHzUrFlTLVu2LPT7DBgwQIGBgQ6N7d+/fyFHYy4gIEAPPfSQ1f5Nmza57V6pqal67733TNruvvtuDRo0yO7cYcOGme0YaTQaNWLECI0ePVoffvihhg8frjfffNNsblhYmEPv3zdv3rRaEG0wGGwWdAMAAAAAYAvFWgAAAACAItW8eXO1bdvW5pgff/xRf/zxh8W+8PBwzZ8/X82aNXNLPI0bN9a8efMcKuR48cUXLe74ZU/58uWtHjPljJo1a2rIkCEFXsdb9OjRQ++8847ThUFDhw7VyJEjbY7x9/cvSGilWteuXfXhhx+65bgwg8Gg5557zuYRaY4oV66cZsyY4dLOXM2bN9fkyZOt9vv6+mry5MkqU6aM02t369bNbgFrQdSqVUvvvfeefH19nZ7btWtXvfbaa4UQVfHx5z//udCf9fDwcIeONoyKilL79u0LNRZrevXqZbUvNjbWbff59NNPzY7yffPNN82KsCyJjo7WuHHjzNpzcnK0Zs0aff755xZ37TQYDHrnnXccej3asmWL1V0B7733XkVGRtpdAwAAAAAASyjWAgAAAAAUOXu7GtnaXUuSqlevrq+//lovvPCCwzuW5FemTBk9++yzWrJkicN/gC1TpozmzJnj1C46jRo10rJly9SwYUOX4sxv3LhxGjZsGDts/deTTz6pBQsWqG7dunbHli9fXlOmTNGECROUnJxsc6ynjyLzNt27d9e3336rNm3auLxGVFSUPv/8c40bN84tO3Xde++9WrBggapWrerwnE6dOmnu3Ll2Cz2aNWumTz/9VOXKlXN47V69eun9998v9Gf50Ucf1cyZM52KrU+fPpo2bVqBduUqCZo0aaJZs2apUqVKhXqfZ555xu7PcN++fYvsdb1t27aKioqy2Pf777/r/PnzBb7HsWPHtHDhQpO2Hj16OPUa8cwzz2jUqFEOf5/8/f319ttv29w57E4//fST1b6C7OwHAAAAAADFWgAAAACAIte2bVu1aNHC5pgffvhBp06dstrv7++v1157TT///LNGjx6tBg0a2P1juI+Pj+rVq6eRI0dq48aNGj9+vNPFCNWrV9c333yjESNG2Cx+iImJ0cSJE7Vs2TJFR0c7dQ9b/Pz89Prrr2vdunUaOXKk7rvvPlWtWlVBQUGltoCrdevW+u677/TJJ5/o0UcfVa1atRQUFKSgoCDVqlVLDzzwgKZOnaoNGzaoZ8+ekqT9+/fbXLOwizdKg+joaH311Vdavny5evXqpYiICLtzgoKC1KFDB3388cdau3atOnXq5NaYmjZtqh9++EHDhw9XtWrVrI6rX7++PvroI82ePdvhHcLuv/9+rVy5Uk8++aTN3ZoaNmyoGTNm6L333vNYMVTnzp31448/atCgQVYLEQ0Gg+655x7Nnz9f//jHP0rN7nIdOnTQ+vXr9Y9//EOPPfaY6tSpo7CwMId2e3JUzZo11bVrV6v9fn5+6tOnj9vu5ywfHx+rRxEajUatXLmywPeYNGmSsrKy8q6Dg4P1+uuvO73OyJEjtWjRIptFXj4+PnrggQf0zTffqF+/fg6tm5aWprVr11rsq1y5sh599FGnYwUAAAAA4DaD0Wg0FnUQAAAAAAAUhtTUVMXFxSkxMVEpKSlKS0tTUFCQwsLCVLlyZTVp0sSp3WXsyc7O1r59+3T8+HFdvXpVAQEBioiIUP369Z3afQueN3r0aK1Zs8Zq/5gxYwr1eLrS6vTp0zpy5IiuXr2qlJQU5eTkqFy5cgoLC1NUVJQaNmzo0pF9rjAajYqLi9OpU6eUmJgoHx8fRUREqFGjRqpVq1aB1k5PT9euXbt05swZXbt2Tf7+/qpataqaNm3q1uJNV2RnZ2vv3r1KSEjQpUuXFBAQoCpVqqh58+ZO7ToG57z55ptatmyZxb6uXbtq5syZHo7IVGpqqjp37qzr16+b9dWsWVNr1651uSA4MTFR//znP03aGjVqpAceeMCl9W67cuWKdu3apYsXLyotLU2hoaGqVq2aWrVqpbCwMKfWWrFihf785z9b7Bs9erReeumlAsUKAAAAACjdKNYCAAAAAABe4erVq8rNzVXFihWdmvf9999r3LhxsvUrku+++07169cvaIgAoKtXr6pLly7KyMiw2P/555+rc+fOng3KgunTp2vGjBkW++bMmaOOHTt6OCLP6dOnjw4cOGDWHhYWptjYWIWGhhZBVAAAAAAAb8ExiAAAAAAAwCscOXJEnTp10siRI7Vy5UolJSXZHH/q1Cm99dZbGj9+vM1CrZiYGAq1ALhFRkaGxo4da7VQKzo6utgUQT3zzDNWd6RasGCBh6PxnF27dlks1JKkoUOHUqgFAAAAACgwv6IOAAAAAAAAwF2ysrK0bt06rVu3TpJUvXp11alTR+XLl1dwcLAyMzOVnJysY8eO6fTp0w6t+Ze//KUwQwbgpX7//Xd99913km4dN3n58mX99ttvSk5OtjpnyJAh8vEpHp+vDQ0N1fPPP6/333/frG/z5s2Kj4/3ykLWefPmWWyvXLmyBg8e7OFoAAAAAADeiGItAAAAAADgtc6dO6dz5865PH/AgAFq27atGyMCUFocP35cX3/9tcPjo6Oj1b9//0KMyHlDhgzRsmXLLBa3fvrpp5o+fXoRRFV4Dh48qNjYWIt9Y8aMUXBwsIcjAgAAAAB4o+LxMS0AAAAAAIBiplevXpo4cWJRhwGgFDAYDPrrX/+qgICAog7FREBAgCZMmGCxb926dTp06JCHIypcM2bMsNjeuHFj9enTx8PRAAAAAAC8FTtrAQAAAAAA3CEkJER/+tOfNGDAABkMhqIOB0ApMGbMGHXo0KGow7Coa9euOnz4cFGH4REzZ84s6hAAAAAAAKUAxVoAAAAAAMArREZGqlOnTtq2bZsyMzOdnl+5cmU98cQTGjJkiKpUqVIIEQKAqaCgII0fP15PPfVUUYcCAAAAAAA8hGItAAAAAADgFWrUqKHZs2crNTVVv/32m/bs2aMjR44oISFBiYmJysjIUFZWlgIDAxUaGqrQ0FDVqVNHjRo1UpMmTdS6dWv5+voW9ZcBwIv5+/urXLlyuuuuu9ShQwf17t1blStXLuqwAAAAAACABxmMRqOxqIMAAAAAAAAAAAAAAAAAAG/nU9QBAAAAAAAAAAAAAAAAAEBpQLEWAAAAAAAAAAAAAAAAAHgAxVoAAAAAAAAAAAAAAAAA4AEUawEAAAAAAAAAAAAAAACAB1CsBQAAAAAAAAAAAAAAAAAeQLEWAAAAAAAAAAAAAAAAAHgAxVoAAAAAAAAAAAAAAAAA4AEUawEAAAAAAAAAAAAAAACAB/w/O4bC376WGBoAAAAASUVORK5CYII=\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "GKHSoPRh2Vok"
      },
      "execution_count": null,
      "outputs": []
    }
  ],
  "metadata": {
    "kernelspec": {
      "display_name": "base",
      "language": "python",
      "name": "python3"
    },
    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "file_extension": ".py",
      "mimetype": "text/x-python",
      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.9.6"
    },
    "colab": {
      "provenance": []
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}